🛠 Tech Stack

💼 About This Role

You'll join a remote-first startup building modern Machine Learning systems for demand planning and budget forecasting. You'll craft scalable data infrastructures that enhance high-level decision-making for clients. This role offers the chance to work with cutting-edge Big Data and ML technologies across multiple industries.

🎯 What You'll Do

• Collaborate with the team to define goals and deliver custom data solutions.
• Design and implement ETL processes, optimize queries, and automate pipelines.
• Own projects end-to-end: build, maintain, and improve data systems with clients.
• Build scalable, high-performance data architectures and ensure code quality.

📋 Requirements

• Experience in Data Engineering building and optimizing data pipelines.
• Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
• Advanced English level required.
• Experience with any cloud (AWS, GCP, Azure).

✨ Nice to Have

• Experience with stream processing tools like Kafka Streams, Kinesis, or Spark.
• Solid command of English for understanding and communicating technical concepts.

🎁 Benefits & Perks

• 🌍 Remote-first culture – work from anywhere!
• 🚀 In-Company English Lessons.
• 💪 Wellhub or sports club stipend to stay active.
• 🎂 Birthday off + extra vacation week (Mutt Week! 🏖️)
• ✈️ Annual Mutters' Trip – an unforgettable getaway with the team!

🚩 Heads Up

• Role title says 'Senior' but minimum experience years not specified; could be misleading.
• Required skills include Docker but only basic knowledge requested; may indicate vague requirements.